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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,947 datasets
Post-1988 Agricultural Land Classification survey data for the Great Coates site near Great Grimsby. The dataset includes scanned original paper maps and survey reports from detailed site surveys conducted between 1989 and 1999 by the Ministry of Agriculture, Fisheries and Food. It provides soil grade mapping, including subgrades 3a and 3b, and may contain unedited sample point soils data and soil pit descriptions for some surveys.
Post-1988 Agricultural Land Classification (ALC) survey data for the Sherburn in Elmet, Low Street site. The dataset includes scanned original paper maps and survey reports from detailed site surveys conducted between 1989 and 1999 by the Ministry of Agriculture, Fisheries and Food. Some surveys also contain unedited sample point soils data and soil pit descriptions.
Post-1988 Agricultural Land Classification survey data for the Great Broughton, Kirkby Lane site (Hambleton District Plan, Site 79H). The data includes scanned original paper maps and survey reports from detailed site surveys conducted between 1989 and 1999 by the Ministry of Agriculture, Fisheries and Food. For some surveys, unedited sample point soils data and soil pit descriptions are also available.
Data from the VIP Cow project investigates the use of welfare pens in Norwegian dairy farms with automatic milking systems. The dataset combines questionnaire responses, on-farm logbook registrations, and interview transcripts with agricultural advisors. It was authored by Barry, Conor and last updated on 2026-04-21.
StreetVision-10K is a dataset for training and evaluating geolocation models, created by author 'mishl'. Each sample includes a system prompt, a user message with a street-level photo, and an assistant response with ground-truth coordinates. The dataset was last updated on 2026-04-12.
pix2pix-rgb2ndvi-388pairs is a dataset published on Kaggle. The title suggests it contains 388 paired images for training image-to-image translation models, likely converting standard RGB imagery to NDVI (Normalized Difference Vegetation Index) maps. No further metadata about its origin, collection method, or specific content is available.
Alberta's agricultural area is covered by a geospatial index estimating relative manure production. The index, created in 2002 by the Government of Alberta using ArcGIS, ranks areas from 0 (lowest) to 1 (highest) to indicate potential contributions to nutrient loading, pathogens, and odour.
Food safety inspection records for establishments in New York, covering the last 24 months. The dataset includes inspection grades, deficiency descriptions, and geospatial references. It is provided by data.ny.gov and was last updated on March 19, 2026.
USGS GEO GLAM Ukraine data supports global agricultural monitoring through Earth observations. The dataset likely contains satellite-derived information for advancing sustainable agriculture and food security analysis. It is coordinated by the Group on Earth Observations (GEO) through institutions like USGS.
USGS Group on Earth Observations data aims to inform decisions through coordinated Earth Observation. The GEO GLAM initiative focuses on using satellite and in-situ data to advance sustainable agriculture and food security. This specific dataset appears to cover Uganda for agricultural monitoring purposes.
A dataset from the USGS and NASA Earthdata platform supporting the Group on Earth Observations (GEO) agricultural monitoring initiative. It likely contains satellite-derived data for Russia to advance sustainable agriculture, aquaculture, and fisheries. The objective is to inform decisions on early warning, risk assessment, and food security.
Earth observation data from the USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) initiative focused on Pakistan. The dataset likely supports monitoring for early warning, risk assessment, and food security, as described by the GEO's agricultural goals. It originates from the USGS Long Term Archive (USGS_LTA) and is hosted on the NASA Earthdata platform.
USGS Group on Earth Observations (GEO) data for Ethiopia, part of the Global Agricultural Monitoring (GLAM) initiative. The dataset likely contains satellite-derived information to support sustainable agriculture and food security. The objective is to inform decisions by coordinating Earth Observation data from various institutions and agencies.
The USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) Australia dataset supports the GEO vision for coordinated Earth Observation to inform decisions. The data, hosted by NASA EarthData and managed by the USGS Long Term Archive (USGS_LTA), likely contains satellite-derived information for agricultural monitoring. Its specific temporal coverage, volume, and granularity are not detailed in the provided metadata.
USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) Argentina dataset focuses on promoting the use of Earth observations for sustainable agriculture. The data likely supports early warning, risk assessment, and food security analysis. It is sourced from the USGS Long Term Archive (LTA) and hosted on the NASA Earthdata platform.
Algeria-focused data from the USGS Group on Earth Observations (GEO) Global Agricultural Monitoring (GLAM) initiative. The dataset is part of a broader effort to coordinate Earth Observation resources from institutions, space agencies, and research centres to inform decisions. Its goal is to advance sustainable agriculture and address issues like early warning, food security, and desertification.
1987 Census of Agriculture data provides county-level estimates of agricultural cropping practices across the conterminous United States. The data includes acres and percentages of county area for crops, derived from surveys of farms selling over $1,000 of products. Polygons representing county boundaries were derived from the 1970 National Atlas Digital Line Graph files.
Estimates of agricultural expenses in thousands of dollars for counties in the conterminous United States, derived from the 1987 Census of Agriculture. The data is formatted as a GIS coverage with county boundaries sourced from the 1970 National Atlas. Some information from the 1982 Census of Agriculture was also included.
UNEP/GRID developed this soils dataset for the Lake Chad Commission on Sustainable Development. It covers parts of seven countries and is based on the 1977 FAO/UNESCO Soil Map of the World at a scale of 1:5,000,000. The dataset was published in December 1988 and includes files representing FAO soil classes, pedogenic processes, and texture and slope classes.
A listing of retail food stores licensed by the New York State Department of Agriculture and Markets. The dataset includes store details such as DBA Name, Entity Name, and License Number, along with location information like County, City, and Georeference. It was last updated on 2026-03-19 and is provided by data.ny.gov.